Milton Moore, who calls this inquiry into an effective Canadian competition policy “a polite polemic,” challenges the assumptions upon which combines legislation is based and questions the manner in which free enterprise operates in Canada. He addresses himself, not to the academic economist, but to the general public. Because realism and relevance inform his thinking, businessmen will recognize the world of business he describes as the one they inhabit. The author’s basic premise is that the consumer is entitled to commodities and services at a price equal to the lowest attainable cost. But as industry is now organized, there is a gross waste of resources, and if the usual solution advocated for this problem (free trade in manufactured products with the United States) were to be effected, most of what remains of our economic independence would be lost. Professor Moore makes some radical proposals on the subject, notably the subordination of tariff policy to competition policy and the removal of the firm’s right of refusal to sell, both to a degree not previously suggested. The work is infused with his view that the public good takes precedence over the right of the individual to pursue his economic self-interest. “Unless politically courageous decisions are made,” he warns, “… our competition policy will continue to be the charade that it now is.”

Insurance Planning Models: Price Competition and Regulation of Financial Stability is an exciting new book that takes readers inside the secrets of internal organization of the modern general insurance business. Many people know that it is subject to intensive state regulation, whereby the purpose is to maintain long-term efficiency, honesty, security and stability in the interest and for the protection of policyholders. However, except for knowing that the insurance system is regulated by intensive calculations, that the insurance companies have different positions on the market, that they pursue different goals and even compete with each other, and that one of the tools of this competition is the policy price, not so many people know how to achieve these deserving goals.In developing quantitative recommendations and directives to competing insurers, regulators rely on certain models. In the 1900s, such models were proposed. They were useful for an insight into the probabilistic nature of the insurance process, but not for direct application to practically meaningful problems of insurance regulation. This book is your guide to the rigorously constructed long-term dynamic models with the aim to improve regulatory methods and develop quantitative recommendations using both analytical calculations and computer simulation. It is addressed to a wide range of readers, including interested policyholders, economists whose interest lies in insurance management and regulation, and mathematicians wishing to expand the scope of application for their knowledge.This book is devoted to certain issues that are either not sufficiently presented, or even absent in the literature. It is an attempt to penetrate from the standpoint of mathematical modeling into the goals which face insurance regulators and contending company managers for preventing insolvencies, or even crises pertinent to badly regulated complex reflexive systems.It offers rigorous probabilistic models of long-term insurance business based on the laws of mass phenomena. They mitigate deficiencies of oversimplified risk models. The book presents advances in probabilistic techniques designed to seek quantitative, rather than qualitative, directives and recommendations regarding safe control aiming to achieve different business goals.

Considers legislation to authorize trademark owner control over resale prices at wholesale and retail levels.